| In this paper, the optimal distribution of heat and power is discussed, aiming at practicality. Considering the characteristic of combined heat and power units, the mathematical model of the problem is established, where the total consumption of coal is chosen to be the optimization objective contrasting to the other economic Indicators, and the constrains are settled after linearizing the relations between heat and power. The fitting of coal consumption character equation is achieved by employing SPSS, and the work is based on multiple linear regression theory, and the data needed is acquired from run-time database of the power plant. The quadratic programming and generalized reduced gradient (GRG) algorithm are introduced to solve the problem. A software is developed by VC++ calling LINGO to fulfill loads optimal distribution. According to the maintenance of software needed when the character of units are changed, a method of automatic updates is proposed and detailed, and the feasibility is preparatorily recognized. |